Question 1

You have compared the obtained value with the critical value.What do you do next?

Accepted Answer

A) Provide a statement of the null hypothesis. 
B) Set the level of significance. 
C) Compute the test statistic value. 
D) Reject the null hypothesis if the obtained value is more extreme than the critical value. 
A) Provide a statement of the null hypothesis. 
B) Set the level of significance. 
C) Compute the test statistic value. 
D) Reject the null hypothesis if the obtained value is more extreme than the critical value.

Question 2

What is the final step in hypothesis testing?

Accepted Answer

A) Provide a statement of the null hypothesis. 
B) Compute the test statistic value. 
C) Determine the critical value. 
D) Compare the obtained value with the critical value and make a final determination. 
A) Provide a statement of the null hypothesis. 
B) Compute the test statistic value. 
C) Determine the critical value. 
D) Compare the obtained value with the critical value and make a final determination.

Question 3

Which of the following techniques is used to generalize findings from the sample to the population?

Accepted Answer

A) descriptive statistics 
B) nonparametric statistics 
C) qualitative analysis 
D) inferential statistics 
A) descriptive statistics 
B) nonparametric statistics 
C) qualitative analysis 
D) inferential statistics

Question 4

If a researcher sets the decision rule p value at .05,what is the probability of making a Type I error?

Accepted Answer

A) 1% 
B) 5% 
C) 10% 
D) 20% 
A) 1% 
B) 5% 
C) 10% 
D) 20%

Question 5

When you accept the null hypothesis when in reality it is true you have a ______.

Accepted Answer

A) Type I error 
B) correct decision 
C) Type II error 
D) power 
A) Type I error 
B) correct decision 
C) Type II error 
D) power

Question 6

The term for the statistical value that is compared with the critical value is the ______.

Accepted Answer

A) critical value 
B) test statistic 
C) obtained value 
D) comparison value 
A) critical value 
B) test statistic 
C) obtained value 
D) comparison value

Question 7

Define significance level.

Accepted Answer

Significance level is the risk

Question 8

Under the normal curve,when obtained value falls to the right of the critical value,what percentage of the normal curve does it fall under?

Accepted Answer

A) 5% 
B) 10% 
C) 95% 
D) 100% 
A) 5% 
B) 10% 
C) 95% 
D) 100%

Question 9

Which of the following occurs when you reject the null hypothesis when it is true?

Accepted Answer

A) Type I error 
B) correct decision 
C) Type II error 
D) power 
A) Type I error 
B) correct decision 
C) Type II error 
D) power

Question 10

Why do we use inferential statistics?

Accepted Answer

We use inferential statistics

Question 11

What happens when a null hypothesis has been accepted and the null hypothesis is FALSE?

Accepted Answer

A) a null error 
B) power 
C) a Type II error 
D) a Type I error 
A) a null error 
B) power 
C) a Type II error 
D) a Type I error

Question 12

How is statistical significance usually represented?

Accepted Answer

A) p = 0.05 B) p > 0.05 C) p < 0.05 D) p = 0.01 A) p = 0.05 B) p > 0.05 C) p < 0.05 D) p = 0.01

Question 13

What is the first step in testing a hypothesis?

Accepted Answer

A) Set the level of risk associated with the null hypothesis. 
B) Provide a statement of the null hypothesis. 
C) Select the appropriate test statistic. 
D) Compute the test statistic value. 
A) Set the level of risk associated with the null hypothesis. 
B) Provide a statement of the null hypothesis. 
C) Select the appropriate test statistic. 
D) Compute the test statistic value.

Question 14

Power is equal to 1 − β.

Accepted Answer

A) True 
 B)False

Question 15

If the obtained value is less than the critical value,what should you do?

Accepted Answer

A) reject the null hypothesis 
B) accept the null hypothesis 
C) set a high p value 
D) increase your sample 
A) reject the null hypothesis 
B) accept the null hypothesis 
C) set a high p value 
D) increase your sample

Question 16

If you want to examine the difference between the average scores of three unrelated groups,which of the following statistical techniques should you select?

Accepted Answer

A) regression 
B) dependent-samples t-test 
C) analysis of variance 
D) independent-samples t-test 
A) regression 
B) dependent-samples t-test 
C) analysis of variance 
D) independent-samples t-test

Question 17

The degree of risk you are willing to take that you will reject the null hypothesis when it is true is called ______.

Accepted Answer

A) significance level 
B) a Type II error. 
C) a Type II error 
D) power 
A) significance level 
B) a Type II error. 
C) a Type II error 
D) power

Question 18

When conducting a study,it is possible to control for every possible factor.

Accepted Answer

A) True 
 B)False

Question 19

After you select the appropriate test statistic,you ______.

Accepted Answer

A) provide a statement of the null hypothesis 
B) compute the test statistic value 
C) set the level of significance 
D) determine the critical value needed for rejection of the null hypothesis 
A) provide a statement of the null hypothesis 
B) compute the test statistic value 
C) set the level of significance 
D) determine the critical value needed for rejection of the null hypothesis

Question 20

When we say p < .05,it suggests that there is a less than 5 chance in ______ that any differences found were NOT due to the hypothesized reason.

Accepted Answer

A) 5 
B) 20 
C) 25 
D) 100 
A) 5 
B) 20 
C) 25 
D) 100

You have compared the obtained value with the critical value.What do you do next?

What is the final step in hypothesis testing?

Which of the following techniques is used to generalize findings from the sample to the population?

If a researcher sets the decision rule p value at .05,what is the probability of making a Type I error?

When you accept the null hypothesis when in reality it is true you have a ______.

The term for the statistical value that is compared with the critical value is the ______.

Define significance level.

Under the normal curve,when obtained value falls to the right of the critical value,what percentage of the normal curve does it fall under?

Which of the following occurs when you reject the null hypothesis when it is true?

Why do we use inferential statistics?

What happens when a null hypothesis has been accepted and the null hypothesis is FALSE?

How is statistical significance usually represented?

What is the first step in testing a hypothesis?

Power is equal to 1 − β.

If the obtained value is less than the critical value,what should you do?

If you want to examine the difference between the average scores of three unrelated groups,which of the following statistical techniques should you select?

The degree of risk you are willing to take that you will reject the null hypothesis when it is true is called ______.

When conducting a study,it is possible to control for every possible factor.

After you select the appropriate test statistic,you ______.

When we say p < .05,it suggests that there is a less than 5 chance in ______ that any differences found were NOT due to the hypothesized reason.

Statistics or Sadistics Its up to You

Means to an End: Computing and Understanding Averages

Understanding Variability: Vive La Différence

A Picture Really Is Worth a Thousand Words

Computing Correlation Coefficients: Ice Cream and Crime

Understanding Reliability and Validity: Just the Truth

Hypotheticals and You: Testing Your Questions

Probability and Why It Counts: Fun With a Bell-Shaped Curve

Only the Lonely: the One Sample Z-Test

Teafor Two: Tests Between the Means of Different Groups

Teafor Two Again: Tests Between the Means of Related Groups

Two Groups Too Many Try Analysis of Variance

Two Too Many Factors: Factorial Analysis of Variancea Brief Introduction

Testing Relationships Using the Correlation Coefficients: Cousins or Just Good Friends

Using Linear Regression: Predicting Wholl Win the Super Bowl

Chi-Square and Some Other Nonparametric Tests: What to Do When Youre Not Normal

Some Other Importantstatistical Procedures You Should Know About

An Introduction to Data Mining

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Exam 9: Significantly Significant: What It Means for You and Me

You have compared the obtained value with the critical value.What do you do next?

What is the final step in hypothesis testing?

Which of the following techniques is used to generalize findings from the sample to the population?

If a researcher sets the decision rule p value at .05,what is the probability of making a Type I error?

When you accept the null hypothesis when in reality it is true you have a ______.

The term for the statistical value that is compared with the critical value is the ______.

Define significance level.

Under the normal curve,when obtained value falls to the right of the critical value,what percentage of the normal curve does it fall under?

Which of the following occurs when you reject the null hypothesis when it is true?

Why do we use inferential statistics?

What happens when a null hypothesis has been accepted and the null hypothesis is FALSE?

How is statistical significance usually represented?

What is the first step in testing a hypothesis?

Power is equal to 1 − β.

If the obtained value is less than the critical value,what should you do?

If you want to examine the difference between the average scores of three unrelated groups,which of the following statistical techniques should you select?

The degree of risk you are willing to take that you will reject the null hypothesis when it is true is called ______.

When conducting a study,it is possible to control for every possible factor.

After you select the appropriate test statistic,you ______.

When we say p < .05,it suggests that there is a less than 5 chance in ______ that any differences found were NOT due to the hypothesized reason.

Statistics or Sadistics Its up to You

Means to an End: Computing and Understanding Averages

Understanding Variability: Vive La Différence

A Picture Really Is Worth a Thousand Words

Computing Correlation Coefficients: Ice Cream and Crime

Understanding Reliability and Validity: Just the Truth

Hypotheticals and You: Testing Your Questions

Probability and Why It Counts: Fun With a Bell-Shaped Curve

Only the Lonely: the One Sample Z-Test

Teafor Two: Tests Between the Means of Different Groups

Teafor Two Again: Tests Between the Means of Related Groups

Two Groups Too Many Try Analysis of Variance

Two Too Many Factors: Factorial Analysis of Variancea Brief Introduction

Testing Relationships Using the Correlation Coefficients: Cousins or Just Good Friends

Using Linear Regression: Predicting Wholl Win the Super Bowl

Chi-Square and Some Other Nonparametric Tests: What to Do When Youre Not Normal

Some Other Importantstatistical Procedures You Should Know About

An Introduction to Data Mining

Filters